Random 2

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   51  -0.0227  0.0145  0.0544  0.1089  0.0241  0.04
Anderszewski 2003   42  -0.0167  0.0061  0.0372  0.0388  0.0269  0.02
Ashkenazy 1981   32  0.0077  0.0064  0.0366  0.0391  0.0177  0.02
Bacha 2000   29  0.0066  0.0030  0.0528  0.2288  0.0224  0.07
Badura 1965   21  0.023  0.084  0.0816  0.3389  0.0222  0.08
Barbosa 1983   22  0.0112  0.0326  0.0723  0.2890  0.0136  0.05
Biret 1990   31  0.0028  0.0015  0.0612  0.3789  0.0214  0.09
Blet 2003   61  -0.0436  0.0048  0.0552  0.0589  0.0170  0.02
Block 1995   74  -0.0664  0.0063  0.0368  0.0391  0.0174  0.02
Blumental 1952   26  0.0153  0.0023  0.0624  0.2788  0.0227  0.07
Boshniakovich 1969   82  -0.0778  0.0084  0.0377  0.0390  0.0175  0.02
Brailowsky 1960   64  -0.0458  0.0046  0.0647  0.0687  0.0244  0.03
Bunin 1987   47  -0.0251  0.0054  0.0549  0.0587  0.0250  0.03
Bunin 1987b   46  -0.0268  0.0052  0.0456  0.0488  0.0245  0.03
Chiu 1999   60  -0.0365  0.0051  0.0457  0.0489  0.0160  0.02
Cohen 1997   11  0.0429  0.0017  0.0719  0.3288  0.0223  0.08
Cortot 1951   30  0.0022  0.0136  0.0534  0.1987  0.0143  0.04
Csalog 1996   43  -0.0148  0.0044  0.0445  0.0990  0.0240  0.04
Czerny 1949   12  0.0413  0.0312  0.084  0.4584  0.0213  0.09
Czerny 1990   20  0.0240  0.0038  0.0535  0.1688  0.0231  0.06
Duchoud 2007   57  -0.0310  0.0318  0.0536  0.1489  0.0142  0.04
Ezaki 2006   39  -0.0114  0.0240  0.0438  0.1487  0.0233  0.05
Falvay 1989   68  -0.0550  0.0042  0.0441  0.1189  0.0234  0.05
Farrell 1958   23  0.0120  0.0114  0.0520  0.3288  0.0218  0.08
Ferenczy 1958   62  -0.0437  0.0034  0.0632  0.2087  0.0230  0.06
Fliere 1977   78  -0.0782  0.0083  0.0281  0.0290  0.0180  0.01
Fou 1978   81  -0.0783  0.0078  0.0375  0.0391  0.0164  0.02
Francois 1956   34  0.0072  0.0035  0.0633  0.1989  0.0232  0.06
Friedman 1923   66  -0.0470  0.0058  0.0553  0.0585  0.0254  0.03
Friedman 1923b   65  -0.0441  0.0057  0.0458  0.0487  0.0251  0.03
Friedman 1930   8  0.0511  0.0311  0.0829  0.2284  0.0226  0.07
Garcia 2007   80  -0.0759  0.0069  0.0461  0.0490  0.0249  0.03
Garcia 2007b   45  -0.0242  0.0028  0.0630  0.2290  0.0139  0.05
Gierzod 1998   15  0.0347  0.0022  0.0517  0.3390  0.0220  0.08
Gornostaeva 1994   33  0.0054  0.0031  0.0627  0.2389  0.0228  0.07
Groot 1988   70  -0.0569  0.0066  0.0371  0.0390  0.0178  0.02
Harasiewicz 1955   79  -0.0784  0.0075  0.0282  0.0289  0.0279  0.02
Hatto 1993   7  0.0562  0.0020  0.0413  0.3683  0.039  0.10
Hatto 1997   2  0.071  0.151  0.151  0.4982  0.034  0.12
Horowitz 1949   35  0.0049  0.0067  0.0374  0.0389  0.0265  0.02
Indjic 1988   4  0.0626  0.0116  0.068  0.4178  0.037  0.11
Kapell 1951   40  -0.0124  0.0133  0.0539  0.1389  0.0235  0.05
Kissin 1993   58  -0.0385  0.0074  0.0550  0.0591  0.0168  0.02
Kushner 1989   77  -0.0763  0.0085  0.0285  0.0291  0.0183  0.01
Luisada 1991   72  -0.0534  0.0047  0.0646  0.0690  0.0155  0.02
Lushtak 2004   63  -0.0456  0.0043  0.0542  0.1190  0.0237  0.05
Malcuzynski 1961   38  -0.0117  0.0155  0.0551  0.0589  0.0246  0.03
Magaloff 1978   54  -0.0373  0.0073  0.0459  0.0490  0.0161  0.02
Magin 1975   59  -0.0357  0.0072  0.0367  0.0390  0.0163  0.02
Michalowski 1933   67  -0.0486  0.0077  0.0280  0.0291  0.0188  0.01
Milkina 1970   17  0.0325  0.0124  0.0814  0.3586  0.0219  0.08
Mohovich 1999   83  -0.0752  0.0076  0.0373  0.0389  0.0276  0.02
Moravec 1969   5  0.0516  0.029  0.079  0.4086  0.0210  0.09
Morozova 2008   44  -0.0243  0.0050  0.0548  0.0590  0.0171  0.02
Neighaus 1950   75  -0.0675  0.0080  0.0279  0.0291  0.0191  0.01
Niedzielski 1931   16  0.0323  0.0129  0.0731  0.2185  0.0229  0.06
Ohlsson 1999   84  -0.0890  0.0087  0.0189  0.0191  0.0187  0.01
Osinska 1989   24  0.0144  0.0019  0.0518  0.3388  0.0216  0.08
Pachmann 1927   88  -0.1045  0.0082  0.0284  0.0290  0.0266  0.02
Paderewski 1930   3  0.066  0.065  0.085  0.4388  0.0212  0.09
Perlemuter 1992   91  -0.1479  0.0091  0.0191  0.0191  0.0181  0.01
Pierdomenico 2008   87  -0.0974  0.0090  0.0188  0.0191  0.0182  0.01
Poblocka 1999   69  -0.0580  0.0060  0.0363  0.0390  0.0257  0.02
Rabcewiczowa 1932   10  0.044  0.078  0.0811  0.3789  0.0211  0.09
Rachmaninoff 1923   37  -0.0135  0.0065  0.0365  0.0388  0.0262  0.02
Rangell 2001   28  0.0031  0.0037  0.0537  0.1488  0.0238  0.05
Richter 1976   85  -0.0855  0.0086  0.0287  0.0291  0.0186  0.01
Rosen 1989   76  -0.0787  0.0079  0.0278  0.0290  0.0190  0.01
Rosenthal 1930   6  0.0538  0.0021  0.0521  0.3287  0.0221  0.08
Rosenthal 1931   18  0.038  0.047  0.102  0.4677  0.033  0.12
Rosenthal 1931b   13  0.049  0.046  0.083  0.4680  0.035  0.12
Rosenthal 1931c   27  0.0071  0.0039  0.0640  0.1290  0.0152  0.03
Rosenthal 1931d   14  0.0439  0.0010  0.086  0.4388  0.0215  0.09
Rossi 2007   86  -0.0960  0.0071  0.0376  0.0388  0.0259  0.02
Rubinstein 1939   19  0.0221  0.0125  0.0622  0.2863  0.046  0.11
Rubinstein 1952   49  -0.0261  0.0053  0.0460  0.0488  0.0253  0.03
Rubinstein 1966   36  0.0019  0.0132  0.0525  0.2575  0.048  0.10
Schilhawsky 1960   52  -0.0218  0.0156  0.0455  0.0488  0.0248  0.03
Shebanova 2002   71  -0.0576  0.0081  0.0283  0.0291  0.0189  0.01
Smith 1975   50  -0.027  0.0513  0.0815  0.3590  0.0217  0.08
Sokolov 2002   53  -0.0232  0.0059  0.0364  0.0391  0.0158  0.02
Sztompka 1959   55  -0.0381  0.0070  0.0362  0.0389  0.0267  0.02
Tomsic 1995   73  -0.0615  0.0241  0.0543  0.1190  0.0147  0.03
Uninsky 1932   41  -0.0130  0.0049  0.0554  0.0589  0.0173  0.02
Uninsky 1971   25  0.0146  0.0027  0.0726  0.2488  0.0225  0.07
Wasowski 1980   48  -0.0233  0.0068  0.0370  0.0390  0.0156  0.02
Zak 1937   90  -0.1388  0.0088  0.0190  0.0190  0.0184  0.01
Zak 1951   89  -0.1391  0.0089  0.0286  0.0290  0.0185  0.01
Average   56  -0.0389  0.0062  0.0369  0.0389  0.0272  0.02
Random 1   9  0.052  0.122  0.1210  0.386  0.472  0.42
Random 2   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Random 3   1  0.105  0.063  0.127  0.428  0.451  0.43

Note: To load data table give above into Excel, copy and paste the data into a text editor (such as WordPad) first, then copy the text in the editor and past into Excel. You should remove the "target" line from the data before pasting into Excel so that plotting graphs of the data is done properly.

Column descriptions

  • Performance:
  • 0-Rank/0-Score: 0-Score is equivalent to Pearson correlation of the entire data sequence between the reference performance and a test performance. 0-Rank is the sorting order of the 0-scores (highest score has a rank of 1).
  • 1-Rank/1-Score: 1-Score is the area fraction covered by a particular performance in the scape plot (see image above). These values should not be taken literally, since they are sensitive to the Hatto Effect.
  • 2-Rank/2-Score: 2-Score values are equivalent to 1-Score values with all higher-ranking performances removed before the calculation of the area of coverage in the scape is calculated. Improvment over the 1-Rank scores, but still somewhat sensitive to the Hatto Effect.
  • 3-Rank/3-Score: Similar to 2-Rank calculations. The bottom 1/2 of the 2-rank performances are kept constant as a noise floor for the similarity measurement. Then one-by-one the top 1/2 of the 2-rank performances are superimposed with the noise-floor performances, and a 3-score is measured as the area covered in the scape. This measure is not sentisive to the Hatto Effect.
  • 3R-Rank/3R-Score: Reverse 3-rank/3-scores. 3-rankings and scores are not symmetric (A->B values are different from B->A values). So this column represents similarity measures in the opposite direction.
  • 4-Rank/4-Score: The geometric mean between 3-scores and 3R-scores. This column gives the best overall similarity ranking between the various performances (see color codes below).
  • NED: Noise Equivalient Distance (not yet implemented)

Color codes for 3-rank listings:

  • red = strongly similar performance to target
  • orange = moderately similar performance
  • yellow = weakly similar performance
  • green = marginally similar/dissimilar performance
  • white = dissimilar to target
  • blue = false positive (has high 3-rank score but low 3R-rank score)

3-rank/scores are not symmetric, so the 3R-rank/score columns give the 3-rank/scores going in the opposite direction. More matches in the 3-rank column than in the 3R-rank column indicates an individualistic performance, while more matches in the 3R-rank column indicates a mainstream performance.

If a 3-rank and a 3R-rank are both marked as similar to each other, then there is a possible direct relation between the performances. If one is similar to the other but not in the reverse direction, then the similarity is more likely to be by chance (performers randomly chose a similar interpretation).